Search across hours of YouTube videos with a simple question box

It turns a library of YouTube videos into a searchable knowledge base you can ask questions in plain English.

How the work actually flows

A straight line. Runs once per each video transcript chunk.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig[\"new videos on channel"\]:::trigdata s0[["collect and chunk transcripts"]]:::mi s1[("store chunks with tags")]:::store s2["match question to clips"]:::task s3["play clip at right moment"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"instant answer with matching clip"/]:::out pay{{"stop scrubbing hours of footage"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAGSEO & Search OptimizationWeb Scraping & Data Collection
Connects
ApifyQdrantOpenAI

The problem it solves

When you need an answer buried in a video from months ago, scrubbing through hours of footage to find it wastes your afternoon. Search on video platforms often misses the specific moment you actually need. This lets you type a question and jump straight to the video where the answer lives.

Who it fits

Teams or researchers who rely on a library of video content and need to find specific answers quickly.

How it works

  1. Video transcripts from a chosen channel are collected and broken into searchable chunks
  2. Each chunk is stored with tags so it can be matched to a search later
  3. You type a question into a simple web page
  4. The system finds the most relevant video moments and shows them to you with the video playing right at that point
What you get

Answers found across hours of footage

You get a search box that finds the exact video moment that answers your question.

What you get

A searchable question-and-answer page over your video library, with matching clips ready to play.

What you need

A video scraping service, a vector database account, and an AI model for search and answers.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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